Prognostic nutritional index, a novel biomarker which predicts worse prognosis in diffuse large B cell lymphoma.

The prognostic nutritional index (PNI), an indicator of nutritional status and systemic inflammation, is associated with survival in several types of lymphoma. The purpose of this study was to investigate the prognostic value of PNI in diffuse large B cell lymphoma (DLBCL). With three hundred and ten patients were enrolled, the median level of PNI was 45.90 (range 25.30-139.70). According to the receiver operating characteristic (ROC) curve, 44.85 was determined to be the best cutoff value to divide patients into two different groups. With a median follow-up of 33.3 months (range 3.5-118.5), compared with the high PNI group, the 3-year and adjusted 3-year progression-free survival (PFS) and overall survival (OS) were worse in the low PNI group (all P < 0.050). Multivariate Cox analysis suggested that low PNI was an independent risk factor for PFS (hazard ratio (HR) 2.196, 95 % CI 1.197-4.030, P = 0.011) and showed a tendency to predict inferior OS (HR 1.918, 95 % CI 0.932-3.948, P = 0.077). Furthermore, PNI combined with other significant prognostic factors to build a novel prognostic index, namely NPI, was more accurate than the National Comprehensive Cancer Network international prognostic index (NCCN-IPI) to predict worse PFS and had a similar effect on predicting OS. All these findings suggested that PNI, as a novel available biomarker, was of prognostic significance in DLBCL patients.

Hyperfibrinogenemia is a poor prognostic factor in diffuse large B cell lymphoma.

Diffuse large B cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphomas worldwide. Previous studies indicated that hyperfibrinogenemia was a poor predictor in various tumors. The purpose of our study was to evaluate the prognostic effect of hyperfibrinogenemia in DLBCL. Data of 228 patients, who were diagnosed with DLBCL in our hospital between May 2009 and February 2016, were analyzed retrospectively. The Kaplan-Meier method and Cox regression were performed to find prognostic factors associated with progression-free survival (PFS) and overall survival (OS). Receiver operator characteristic (ROC) curve and the areas under the curve were used to evaluate the predictive accuracy of predictors. Comparison of characters between groups indicated that patients with high National Comprehensive Cancer Network-International Prognostic Index (NCCN-IPI) score (4-8) and advanced stage (III-IV) were more likely to suffer from hyperfibrinogenemia. The Kaplan-Meier method revealed that patients with hyperfibrinogenemia showed inferior PFS (P < 0.001) and OS (P < 0.001) than those without hyperfibrinogenemia. Multivariate analysis showed that hyperfibrinogenemia was an independent prognostic factor associated with poor outcomes (HR = 1.90, 95% CI: 1.15-3.16 for PFS, P = 0.013; HR = 2.65, 95% CI: 1.46-4.79 for OS, P = 0.001). We combined hyperfibrinogenemia and NCCN-IPI to build a new prognostic index (NPI). The NPI was demonstrated to have a superior predictive effect on prognosis (P = 0.0194 for PFS, P = 0.0034 for OS). Hyperfibrinogenemia was demonstrated to be able to predict poor outcome in DLBCL, especially for patients with advanced stage and high NCCN-IPI score. Adding hyperfibrinogenemia to NCCN-IPI could significantly improve the predictive effect of NCCN-IPI.

Low serum cholesterol levels predict inferior prognosis and improve NCCN-IPI scoring in diffuse large B cell lymphoma.

Low circulating cholesterol concentration is associated with elevated cancer incidence and mortality. However, the association between cholesterol levels and diffuse large B cell lymphoma (DLBCL) remains unknown. The aim of our study was to evaluate the prognostic value of serum lipid profile in DLBCL. Five hundred and fifty enrolled subjects with detailed serum lipid levels at diagnosis of DLBCL were randomly divided into a training set (n = 367) and a validation set (n = 183) (ratio, 2:1). Multivariate Cox regression analyses screened the prognostic factors associated with progression-free survival (PFS) and overall survival (OS). Performances of models were compared using C-index and area under the curve in internal and external validation. The results showed that decreased levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were associated with unfavorable PFS and OS in the rituximab era, and concurrently low HDL-C together with low LDL-C was an independent prognostic indicator for both PFS and OS. Patients achieving complete remission or partial remission after 6-8 circles of chemotherapies had significantly increased cholesterol levels compared to the levels at DLBCL diagnosis, and HDL-C or LDL-C elevations were correlated with better survival. Furthermore, the predictive and discriminatory capacity of the National Comprehensive Cancer Network (NCCN)-International Prognostic Index (IPI) together with low cholesterol levels was superior to NCCN-IPI alone both in the training and validation set. In conclusion, serum cholesterol levels are simple and routinely tested parameters, which may be good candidates for predicting prognosis in the future clinical practice of DLBCL.